Epidemic hemorrhagic fever (EHF) is a viral disease characterized by fever, bleeding tendencies, and organ damage. It belongs to a group of viral hemorrhagic fevers, which also include diseases such as Ebola and Lassa fever. EHF is caused by several different viruses, including the Ebola virus, Marburg virus, and Crimean-Congo hemorrhagic fever virus. Each of these viruses has unique epidemiological characteristics, but collectively they contribute to the overall burden of EHF.
Historical Context and Discovery: Epidemic hemorrhagic fever has been recognized for many years, although the specific viruses causing the disease were not identified until later. The first recorded outbreak of EHF occurred in 1967 in Marburg, Germany, where laboratory workers were infected with the Marburg virus after handling infected monkeys from Uganda. This event led to the discovery of the Marburg virus and recognition of EHF as a distinct disease. Subsequently, other viruses such as Ebola and Crimean-Congo hemorrhagic fever virus were identified as causes of EHF.
Global Prevalence: EHF has a global presence, although the specific viruses causing the disease are geographically constrained. Ebola virus outbreaks have primarily occurred in Central and West Africa, with notable outbreaks in countries like the Democratic Republic of Congo, Guinea, Sierra Leone, and Liberia. Marburg virus outbreaks have predominantly occurred in Africa, with outbreaks reported in Uganda, Angola, and the Democratic Republic of Congo. Crimean-Congo hemorrhagic fever virus is found in parts of Africa, Europe, Asia, and the Middle East, with outbreaks reported in countries such as Pakistan, Turkey, and Iran.
Transmission Routes: EHF viruses are zoonotic, originating in animals and transmissible to humans. The exact reservoir hosts for each virus may vary, but common animals include bats, primates, and rodents. Humans can acquire the virus through direct contact with infected animals or their bodily fluids, such as blood or secretions. Additionally, human-to-human transmission can occur through contact with infected bodily fluids, including direct contact, sexual transmission, and contact with contaminated surfaces or objects. Healthcare workers are particularly at risk due to their close contact with infected individuals.
Affected Populations: EHF can affect individuals of any age, gender, or socioeconomic status. However, certain populations may be at higher risk due to occupational exposure or living conditions. For example, individuals involved in hunting, animal husbandry, or healthcare are at increased risk of exposure to infected animals or patients. Lack of access to healthcare facilities or resources, poor infection control practices, and crowded living conditions can also contribute to the spread of EHF among vulnerable populations.
Key Statistics: EHF outbreaks can vary in severity and impact. The fatality rates associated with different EHF viruses can range from 25% to over 90%. For example, the case fatality rate of the Ebola virus can exceed 70% in some outbreaks. The number of cases during an outbreak can also vary, with smaller localized outbreaks to larger epidemics impacting thousands of individuals. The overall burden of EHF on a global scale is relatively low compared to other infectious diseases, but outbreaks can have a profound impact on affected communities and healthcare systems.
Risk Factors: Several risk factors are associated with the transmission of EHF. These can include proximity to specific animal reservoirs, such as bat caves, primate habitats, or rodent-infested areas. Engaging in activities that involve contact with animals or their products, such as hunting or butchering, can increase the risk of exposure. Additionally, inadequate infection control practices, including improper handling of biological samples or limited access to personal protective equipment, can contribute to the spread of EHF. Lack of public health infrastructure and resources to respond to outbreaks also exacerbates the risk.
Impact on Different Regions and Populations: EHF outbreaks have had significant impacts on different regions and populations. In areas where healthcare infrastructure is weak, outbreaks can quickly overwhelm healthcare systems and lead to high mortality rates. These outbreaks also have wider socio-economic consequences, including disruption of trade, travel restrictions, and negative impacts on education and employment. EHF outbreaks also disproportionately affect marginalized populations, particularly those living in poverty or in areas with limited access to healthcare services. Women and children may also experience unique vulnerabilities during outbreaks, such as increased risks during pregnancy or challenges accessing healthcare.
Overall, EHF is an important public health concern with the potential for severe outbreaks and high mortality rates. Continued efforts in surveillance, prevention, and outbreak response are essential to minimize the impact of EHF on affected populations and prevent future outbreaks.

Download Data(下载数据)

Seasonal Patterns:
Based on the provided data, a clear seasonal pattern for Epidemic Hemorrhagic Fever (EHF) is evident in mainland China. The incidence of cases and deaths tends to be higher during the winter and spring months (November to April), while lower during the summer months (May to October). This consistent pattern has been observed over the years.
Peak and Trough Periods:
The peak periods for both cases and deaths predominantly occur in November and December, with consistently high numbers during these months across multiple years. On the other hand, trough periods are typically observed in the summer months, specifically July and August, where the lowest number of cases and deaths are recorded.
Overall Trends:
An analysis of the overall trend reveals an increasing pattern in the number of cases and deaths from 2010 to 2014, followed by a fluctuating trend from 2015 to 2020. As of 2020, there appears to be a decreasing trend in the incidence of cases and deaths. However, it is important to note that the data for 2023 only includes information up until July, thus precluding a full assessment of the trend for that year.
Discussion:
The observed seasonal patterns and peak/trough periods strongly indicate a consistent pattern for EHF in mainland China. The higher incidence during the winter and spring months may be attributed to various factors, including increased population movement during the Chinese New Year holidays and cold weather conditions that facilitate virus transmission. Conversely, the lower incidence during the summer months might be influenced by factors such as improved public health measures and higher temperatures that inhibit the survival of the virus.
The overall trend demonstrates an increasing pattern in cases and deaths from 2010 to 2014, which could imply enhancements in disease surveillance and reporting systems during this period. The fluctuating trend from 2015 to 2020 may be affected by several factors, such as alterations in public health interventions, variations in virus transmission dynamics, and discrepancies in reporting practices. The decreasing trend witnessed from 2020 onwards could suggest effective control efforts or the impact of ongoing vaccination campaigns. However, further data is required to validate this trend.
It is crucial to exercise caution when interpreting this analysis as it relies solely on the provided data. Other factors, including changes in diagnostic criteria or reporting practices over time, could also contribute to the observed patterns and trends.